Data Scientist/ Senior Data Scientist -Demand Forecasting

📋 Description

• • Join Tiger Analytics, a rapidly expanding advanced analytics consulting firm renowned for its deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for numerous Fortune 500 companies, empowering them to extract significant business value from their data. Our leadership and impact in the analytics space have been consistently recognized by industry leaders like Forrester and Gartner. We are actively seeking top-tier talent to contribute to our mission of building the world's premier global analytics consulting team.
• • This role specifically targets experienced Data Scientists, with a focus on Senior or Lead-level expertise, to contribute to our growing demand forecasting initiatives. The ideal candidate will possess a robust understanding of forecasting methodologies, proficiency with tree-based models, and extensive experience in processing large-scale datasets. A critical aspect of this role involves hands-on application of PySpark, Databricks, and Azure cloud environments, coupled with the ability to manage the entire lifecycle of model development and deployment. While not mandatory, prior experience with MLOps and DevOps practices will be considered a significant advantage.
• • As a key member of our consulting team, you will collaborate closely with business partners to conceptualize and implement innovative solutions that address complex business objectives. This involves leveraging cutting-edge techniques and state-of-the-art tools to drive impactful outcomes. You will apply sophisticated data science methodologies to meticulously identify patterns, pinpoint inefficiencies, and diagnose bottlenecks within logistics and operational frameworks.
• • A core responsibility will be the design and construction of scalable data pipelines and sophisticated analytical models. This will be achieved using PySpark, enabling efficient processing and analysis of vast datasets. You will be instrumental in developing predictive and prescriptive models designed to enhance decision-making across critical business functions, including demand forecasting, route optimization, and inventory management.
• • This role demands close collaboration with cross-functional teams, encompassing operations, product management, and engineering departments. Your contribution will be vital in translating intricate business challenges into actionable analytical solutions. You will be expected to articulate complex insights and strategic recommendations with clarity and precision to diverse stakeholders. This will be accomplished through compelling data storytelling, insightful visualizations, and professional presentations.
• • Beyond project-specific contributions, you will be encouraged to share your passion for Data Science with the broader enterprise community. This includes identifying opportunities to develop and implement long-term processes, robust frameworks, effective tools, and standardized methodologies that elevate the organization's analytical capabilities. You will also have the opportunity to collaborate, mentor, and learn from a dynamic and experienced team of Data Scientists, fostering a culture of continuous growth and knowledge sharing.
• • To ensure we remain at the forefront of the field, you will be expected to stay connected with external advancements and emerging ideas by engaging with industry conferences and participating in community initiatives. This proactive approach to learning and development is crucial for maintaining our competitive edge and delivering best-in-class solutions to our clients.